Amanote Research
Register
Sign In
High Performance Multivariate Visual Data Exploration for Extremely Large Data
doi 10.1109/sc.2008.5214436
Full Text
Open PDF
Abstract
Available in
full text
Date
November 1, 2008
Authors
Oliver Rubel
Peter Messmer
Hans Hagen
Bernd Hamann
E. Wes Bethel
Hank Childs
Jeremy Meredith
Cameron G.R. Geddes
Estelle Cormier-Michel
Sean Ahern
Gunther H. Weber
Publisher
IEEE
Related search
Visual Exploration of Large Multidimensional Data Using Parallel Coordinates on Big Data Infrastructure
Informatics
Communication
Communications
Human-Computer Interaction
Computer Networks
View Recommendation for Visual Data Exploration
From Visual Data Exploration to Visual Data Mining: A Survey
IEEE Transactions on Visualization and Computer Graphics
Computer Graphics
Pattern Recognition
Computer Vision
Computer-Aided Design
Signal Processing
Software
Nonlinear Dimensionality Reduction of Large Datasets for Data Exploration
Data Mining VII: Data, Text and Web Mining and their Business Applications
Visualization of Diversity in Large Multivariate Data Sets
IEEE Transactions on Visualization and Computer Graphics
Computer Graphics
Pattern Recognition
Computer Vision
Computer-Aided Design
Signal Processing
Software
Visual Exploration of Migration Patterns in Gull Data
Information Visualization
Computer Vision
Pattern Recognition
A Visual Approach to Creating Multivariate Geovisualization Test Data
Abstracts of the ICA
ReCoil - An Algorithm for Compression of Extremely Large Datasets of Dna Data
Algorithms for Molecular Biology
Computational Theory
Applied Mathematics
Structural Biology
Molecular Biology
Mathematics
Flowstrates: An Approach for Visual Exploration of Temporal Origin-Destination Data
Computer Graphics Forum
Computer Networks
Computer Graphics
Computer-Aided Design
Communications
